Readme.txt for CHEERLEADING IN CYBERSPACE?Marcelo Leal and Paul Musgrave (musgrave@umass.edu)These files contain raw data, cleaned data, code to analyze and clean data, output files (including Stata logs, tables in .tex format, and charts in .pdf format), and documentation files (including questionnaires for the MTurk experiment and appendix).The directory structure assumed by these files is that there is one root folder (�Work�) and subdirectories: Charts, Code, Data, Logs, Raw, and Tables. Do-files live in the Code subdirectory. Processed data lives in the Data subdirectory. Raw data lives in the Raw subdirectory. Logs, tables, and charts live in their respective subdirectories. (This is inspired by J. Scott Long�s The Workflow of Data Analysis�Using Stata.) Users will have to change the global macro recording the specific directory path REPLICATIONStep 1. Data cleaningTo replicate the analysis, begin with the two data-cleaning scripts which take the raw (but anonymized) data and turn them into usable data files.CCES Data Cleaning uses /Raw/CCES18_UMB_STATA13Trimmed.dta and converts it into /Data/CCESUsable.dta. Conjoint Data Cleaning uses /Raw/TheCyber2019MergedDataNoHeadersAnonymized.csv and converts it into /Data/TheCyber2019AnalysisData.dta.Step 2. AnalysisEach do-file in Code labeled �Figure X� creates the replication for the figure indicated. Some files also create tables for the appendix. (Additional code to provide replication for the appendix is provided as well.) These will populate the Logs, Tables, and Charts subdirectories.